IDEAS home Printed from https://ideas.repec.org/a/gam/jjrfmx/v15y2022i2p79-d748613.html
   My bibliography  Save this article

Testing Stock Market Efficiency from Spillover Effect of Panama Leaks

Author

Listed:
  • Adeel Nasir

    (Department of Management Sciences, Lahore College for Women University, Lahore 54000, Pakistan)

  • Ștefan Cristian Gherghina

    (Department of Finance, Bucharest University of Economic Studies, 6 Piata Romana, 010374 Bucharest, Romania)

  • Mário Nuno Mata

    (ISCAL—Instituto Superior de Contabilidade e Administração de Lisboa, Instituto Politécnico de Lisboa, Avenida Miguel Bombarda 20, 1069-035 Lisbon, Portugal)

  • Kanwal Iqbal Khan

    (Institute of Business & Management, University of Engineering and Technology, Lahore 54000, Pakistan)

  • Pedro Neves Mata

    (ISCAL—Instituto Superior de Contabilidade e Administração de Lisboa, Instituto Politécnico de Lisboa, Avenida Miguel Bombarda 20, 1069-035 Lisbon, Portugal)

  • Joaquim António Ferrão

    (ISCAL—Instituto Superior de Contabilidade e Administração de Lisboa, Instituto Politécnico de Lisboa, Avenida Miguel Bombarda 20, 1069-035 Lisbon, Portugal)

Abstract

On 3 April 2016, Mossack Fonseca provided the historically most significant leak of its shareholder’s data for owning offshore companies. Shareholders include many political and influential figures around the globe, which causes a moral hazard. The study analyses the effects of Panama leak events on five stock exchanges to ensure the market efficiency and investor perception related to the Panama leaks. Event study methodology is used on five occasions associated with Panama papers, i.e., the resignation of the Prime Minister of Iceland on 5 April 2016, Jurgen Mossack’s resignation on 7 April 2016, the resignation of the Spanish Minister of Industry on 15 April 2016, the 450 personalities of Pakistan that were nominated in Panama papers on 15 April 2016, and the formation of an inquiry commission to inquire into the matter. The market efficiency of five stock exchanges was checked, i.e., the KSE 100 of Pakistan, the OMXIPI exchange of Iceland, the IBEX 35 of Spain, the New York stock exchange (NYSE), and S&P 500. The market remains efficient for most events and investor behaviour changes for one or two days around the event day (this event has concise term significant abnormal returns in all stock exchanges or concise term significant abnormal macroeconomic effects are observed in all stock exchanges).

Suggested Citation

  • Adeel Nasir & Ștefan Cristian Gherghina & Mário Nuno Mata & Kanwal Iqbal Khan & Pedro Neves Mata & Joaquim António Ferrão, 2022. "Testing Stock Market Efficiency from Spillover Effect of Panama Leaks," JRFM, MDPI, vol. 15(2), pages 1-23, February.
  • Handle: RePEc:gam:jjrfmx:v:15:y:2022:i:2:p:79-:d:748613
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1911-8074/15/2/79/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1911-8074/15/2/79/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Md. Mahmudul Alam & Haitian Wei & Abu N. M. Wahid, 2021. "COVID‐19 outbreak and sectoral performance of the Australian stock market: An event study analysis," Australian Economic Papers, Wiley Blackwell, vol. 60(3), pages 482-495, September.
    2. James O’Donovan & Hannes F Wagner & Stefan Zeume, 2019. "The Value of Offshore Secrets: Evidence from the Panama Papers," The Review of Financial Studies, Society for Financial Studies, vol. 32(11), pages 4117-4155.
    3. Marie-Claude Beaulieu & Jean-Claude Cosset & Naceur Essaddam, 2005. "The impact of political risk on the volatility of stock returns: the case of Canada," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 36(6), pages 701-718, November.
    4. Ray C. Fair, 2002. "Events That Shook the Market," The Journal of Business, University of Chicago Press, vol. 75(4), pages 713-732, October.
    5. Pinglin He & Yulong Sun & Ying Zhang & Tao Li, 2020. "COVID–19’s Impact on Stock Prices Across Different Sectors—An Event Study Based on the Chinese Stock Market," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 56(10), pages 2198-2212, August.
    6. Birz, Gene & Lott Jr., John R., 2011. "The effect of macroeconomic news on stock returns: New evidence from newspaper coverage," Journal of Banking & Finance, Elsevier, vol. 35(11), pages 2791-2800, November.
    7. Hillier, David & Loncan, Tiago, 2019. "Political uncertainty and Stock returns: Evidence from the Brazilian Political Crisis," Pacific-Basin Finance Journal, Elsevier, vol. 54(C), pages 1-12.
    8. Fama, Eugene F, 1991. "Efficient Capital Markets: II," Journal of Finance, American Finance Association, vol. 46(5), pages 1575-1617, December.
    9. Niederhoffer, Victor, 1971. "The Analysis of World Events and Stock Prices," The Journal of Business, University of Chicago Press, vol. 44(2), pages 193-219, April.
    10. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    11. Kim, Ki-ho, 2003. "Dollar exchange rate and stock price: evidence from multivariate cointegration and error correction model," Review of Financial Economics, Elsevier, vol. 12(3), pages 301-313.
    12. Ray C Fair, 2001. "Events that shook the market," BIS Papers chapters, in: Bank for International Settlements (ed.), Market liquidity: proceedings of a workshop held at the BIS, volume 2, pages 9-29, Bank for International Settlements.
    13. Cadsby, Charles Bram & Ratner, Mitchell, 1992. "Turn-of-month and pre-holiday effects on stock returns: Some international evidence," Journal of Banking & Finance, Elsevier, vol. 16(3), pages 497-509, June.
    14. Liu, Jing & Ma, Feng & Zhang, Yaojie, 2019. "Forecasting the Chinese stock volatility across global stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 466-477.
    15. Chan, Yue-cheong & John Wei, K. C., 1996. "Political risk and stock price volatility: The case of Hong Kong," Pacific-Basin Finance Journal, Elsevier, vol. 4(2-3), pages 259-275, July.
    16. Kanwal Iqbal Khan & Syed M. Waqar Azeem Naqvi & Muhammad Mudassar Ghafoor & Rana Shahid Imdad Akash, 2020. "Sustainable Portfolio Optimization with Higher-Order Moments of Risk," Sustainability, MDPI, vol. 12(5), pages 1-14, March.
    17. Juan Carlos Franco Laverde & Maria Estela Varua & Arlene Garces-Ozanne, 2009. "Understanding Crime, Political Uncertainty and Stock Market Returns," World Economics, World Economics, 1 Ivory Square, Plantation Wharf, London, United Kingdom, SW11 3UE, vol. 10(2), pages 109-116, April.
    18. Fatma Ben Moussa & Mariem Talbi, 2019. "Stock Market Reaction to Terrorist Attacks and Political Uncertainty: Empirical Evidence from the Tunisian Stock Exchange," International Journal of Economics and Financial Issues, Econjournals, vol. 9(3), pages 48-64.
    19. Kim, Harold Y. & Mei, Jianping P., 2001. "What makes the stock market jump? An analysis of political risk on Hong Kong stock returns," Journal of International Money and Finance, Elsevier, vol. 20(7), pages 1003-1016, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Thomas Schuster, 2003. "News Events and Price Movements. Price Effects of Economic and Non-Economic Publications in the News Media," Finance 0305009, University Library of Munich, Germany.
    2. Tao, Fang & Liu, Xiaohui & Gao, Lan & Xia, Enjun, 2017. "Do cross-border mergers and acquisitions increase short-term market performance? The case of Chinese firms," International Business Review, Elsevier, vol. 26(1), pages 189-202.
    3. Daniel, Kent & Hirshleifer, David & Teoh, Siew Hong, 2002. "Investor psychology in capital markets: evidence and policy implications," Journal of Monetary Economics, Elsevier, vol. 49(1), pages 139-209, January.
    4. Elżbieta Kacperska & Jakub Kraciuk, 2021. "Changes in the Stock Market of Food Industry Companies during the COVID-19 Pandemic—A Comparative Analysis of Poland and Germany," Energies, MDPI, vol. 14(23), pages 1-17, November.
    5. Imane El Ouadghiri & Valérie Mignon & Nicolas Boitout, 2016. "On the impact of macroeconomic news surprises on Treasury-bond returns," Annals of Finance, Springer, vol. 12(1), pages 29-53, February.
    6. Lee, Chun I & Gleason, Kimberly C. & Mathur, Ike, 2001. "Trading rule profits in Latin American currency spot rates," International Review of Financial Analysis, Elsevier, vol. 10(2), pages 135-156.
    7. Shamrez Ali, Sundus Waqar, Muhammad Haris, 2019. "The Nexus between Political & Institutional Corruption Events with the Stock Market: A Study of Pakistan," Journal of Finance and Economics Research, Geist Science, Iqra University, Faculty of Business Administration, vol. 4(1), pages 59-71, March.
    8. Fatta Bahadur K.C. Ph. D. & Nayan Krishna Joshi, 2005. "The Nepalese Stock Market: Efficient and Calendar Anomalies," NRB Economic Review, Nepal Rastra Bank, Research Department, vol. 17, pages 40-85, April.
    9. Chen Gu & Ann Marie Hibbert, 2021. "Expectations and financial markets: Lessons from Brexit," The Financial Review, Eastern Finance Association, vol. 56(2), pages 279-299, May.
    10. Kuchin I.I., 2016. "Exchange rate risk exposure in asset pricing theory," World of economics and management / Vestnik NSU. Series: Social and Economics Sciences, Socionet, vol. 16(3), pages 31-41.
    11. Gabaix, Xavier & Gopikrishnan, Parameswaran & Plerou, Vasiliki & Eugene Stanley, H., 2008. "Quantifying and understanding the economics of large financial movements," Journal of Economic Dynamics and Control, Elsevier, vol. 32(1), pages 303-319, January.
    12. Gerard Atabong Fossung & Vasileios Chatzis Vovas & A. M. M. Shahiduzzaman Quoreshi, 2021. "Impact of Geopolitical Risk on the Information Technology, Communication Services and Consumer Staples Sectors of the S&P 500 Index," JRFM, MDPI, vol. 14(11), pages 1-32, November.
    13. Zhao, Ruwei, 2020. "Quantifying the cross sectional relation of daily happiness sentiment and return skewness: Evidence from US industries," Journal of Behavioral and Experimental Finance, Elsevier, vol. 27(C).
    14. Coleman, Les, 2014. "Why finance theory fails to survive contact with the real world: A fund manager perspective," CRITICAL PERSPECTIVES ON ACCOUNTING, Elsevier, vol. 25(3), pages 226-236.
    15. Christiane Goodfellow & Dirk Schiereck & Steffen Wippler, 2013. "Are behavioural finance equity funds a superior investment? A note on fund performance and market efficiency," Journal of Asset Management, Palgrave Macmillan, vol. 14(2), pages 111-119, April.
    16. Shi, Huai-Long & Zhou, Wei-Xing, 2022. "Factor volatility spillover and its implications on factor premia," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
    17. Carlo Rosa & Giovanni Verga, 2006. "The Impact of Central Bank Announcements on Asset Prices in Real Time: Testing the Efficiency of the Euribor Futures Market," CEP Discussion Papers dp0764, Centre for Economic Performance, LSE.
    18. Xianfeng Jiang & Yongdong Shi, 2006. "The Impact of Insider Trading on the Secondary Market with Order-Driven System," Annals of Economics and Finance, Society for AEF, vol. 7(1), pages 129-143, May.
    19. Thomas Delcey, 2019. "Samuelson vs Fama on the Efficient Market Hypothesis: The Point of View of Expertise [Samuelson vs Fama sur l’efficience informationnelle des marchés financiers : le point de vue de l’expertise]," Post-Print hal-01618347, HAL.
    20. Brown, William Jr. & Burdekin, Richard C.K. & Weidenmier, Marc D., 2006. "Volatility in an era of reduced uncertainty: Lessons from Pax Britannica," Journal of Financial Economics, Elsevier, vol. 79(3), pages 693-707, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jjrfmx:v:15:y:2022:i:2:p:79-:d:748613. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.